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Corning is one of the worlds leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of whats possible. They help move our company,and the world, forward. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide. Corning is seeking a Databricks Platform Engineer / DevOps/Administrative Specialist to help design, build, automate, and support our enterprise Data Analytics Platform on AWS. This role will enable scalable data engineering, analytics, machine learning, and AI / Generative AI / RAG capabilities across the organization. Architect, engineer, and administer Databricks on AWS for enterprise-scale analytics and AI workloads. Build and maintain secure, scalable platform capabilities using Terraform, GitLab CI/CD, and AWS services. Manage Databricks workspaces, clusters, jobs, policies, and Unity Catalog governance. Collaborate with AI / GenAI / RAG developers to enable and support platform capabilities for AI / GenAI / RAG, including document ingestion, embeddings, vector search, and model endpoint integration. Collaborate with data scientists, data engineers, and other stakeholders to enable and support MLOps processes including MLflow, model lifecycle management, and deployment automation. Implement monitoring, logging, security, and operational support to ensure reliability and performance. Collaborate with architecture, infrastructure, security, data engineering, and AI/ML teams to deliver enterprise platform standards. Bachelors degree in computer science, Engineering, Information Systems, or related field. 5+ years of experience in cloud platform engineering, DevOps, data platforms, or related roles.3+ years of hands-on experience with Databricks.Strong experience with cloud platforms (AWS, Azure, GCP), Terraform, and GitLab CI/CD. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.